Overview

Brought to you by YData

Dataset statistics

 Profiling report - TrainProfiling report - Test
Number of variables1010
Number of observations695404225141
Missing cells00
Missing cells (%)0.0%0.0%
Duplicate rows00
Duplicate rows (%)0.0%0.0%
Total size in memory58.4 MiB18.9 MiB
Average record size in memory88.0 B88.0 B

Variable types

 Profiling report - TrainProfiling report - Test
Numeric109
Categorical01

Alerts

Profiling report - TrainProfiling report - Test
Depth (m) is highly overall correlated with Qtn (-) and 3 other fieldsDepth (m) is highly overall correlated with u0 (kPa) and 2 other fieldsHigh correlation
Fr (%) is highly overall correlated with Qtn (-) and 2 other fieldsFr (%) is highly overall correlated with Qtn (-) and 2 other fieldsHigh correlation
Qtn (-) is highly overall correlated with Depth (m) and 6 other fieldsQtn (-) is highly overall correlated with Fr (%) and 3 other fieldsHigh correlation
Rf (%) is highly overall correlated with Fr (%) and 1 other fieldsRf (%) is highly overall correlated with Fr (%) and 1 other fieldsHigh correlation
fs (kPa) is highly overall correlated with Qtn (-) and 1 other fieldsfs (kPa) is highly overall correlated with Qtn (-) and 1 other fieldsHigh correlation
qc (MPa) is highly overall correlated with Fr (%) and 3 other fieldsqc (MPa) is highly overall correlated with Fr (%) and 3 other fieldsHigh correlation
u0 (kPa) is highly overall correlated with Depth (m) and 3 other fieldsu0 (kPa) is highly overall correlated with Depth (m) and 2 other fieldsHigh correlation
σ',v (kPa) is highly overall correlated with Depth (m) and 3 other fieldsσ',v (kPa) is highly overall correlated with Depth (m) and 3 other fieldsHigh correlation
σ,v (kPa) is highly overall correlated with Depth (m) and 3 other fieldsσ,v (kPa) is highly overall correlated with Depth (m) and 2 other fieldsHigh correlation
Oberhollenzer_classes has 37931 (5.5%) zeros Alert not present in this datasetZeros

Reproduction

 Profiling report - TrainProfiling report - Test
Analysis started2024-11-07 15:08:24.2389532024-11-07 15:09:28.559302
Analysis finished2024-11-07 15:09:28.5458022024-11-07 15:09:53.872942
Duration1 minute and 4.31 seconds25.31 seconds
Software versionydata-profiling vv4.12.0ydata-profiling vv4.12.0
Download configurationconfig.jsonconfig.json

Variables

Depth (m)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct75386439
Distinct (%)1.1%2.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean14.16653413.485577
 Profiling report - TrainProfiling report - Test
Minimum0.010.02
Maximum75.8565.19
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:09:55.319304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.010.02
5-th percentile1.561.39
Q16.365.97
median11.9811.68
Q318.6818.49
95-th percentile36.4231.86
Maximum75.8565.19
Range75.8465.17
Interquartile range (IQR)12.3212.52

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation10.7491419.9924045
Coefficient of variation (CV)0.758769990.74096971
Kurtosis2.80181242.6303474
Mean14.16653413.485577
Median Absolute Deviation (MAD)6.086.17
Skewness1.43587451.3261443
Sum9851464.73036156.4
Variance115.5440499.848147
MonotonicityNot monotonicNot monotonic
2024-11-07T10:09:56.287688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.16 325
 
< 0.1%
5.19 325
 
< 0.1%
5.15 325
 
< 0.1%
5.18 325
 
< 0.1%
5.17 324
 
< 0.1%
5.14 324
 
< 0.1%
7.03 324
 
< 0.1%
7.84 324
 
< 0.1%
5.04 323
 
< 0.1%
7.04 323
 
< 0.1%
Other values (7528) 692162
99.5%
ValueCountFrequency (%)
4.51 108
 
< 0.1%
4.53 107
 
< 0.1%
6.13 107
 
< 0.1%
6.01 107
 
< 0.1%
6.06 106
 
< 0.1%
6.1 106
 
< 0.1%
6.12 106
 
< 0.1%
4.52 106
 
< 0.1%
4.5 106
 
< 0.1%
4.09 105
 
< 0.1%
Other values (6429) 224077
99.5%
ValueCountFrequency (%)
0.01 8
 
< 0.1%
0.02 15
 
< 0.1%
0.03 26
 
< 0.1%
0.04 57
 
< 0.1%
0.05 118
< 0.1%
0.06 194
< 0.1%
0.07 201
< 0.1%
0.08 209
< 0.1%
0.09 211
< 0.1%
0.1 210
< 0.1%
ValueCountFrequency (%)
0.02 2
 
< 0.1%
0.03 8
 
< 0.1%
0.04 11
 
< 0.1%
0.05 40
< 0.1%
0.06 68
< 0.1%
0.07 77
< 0.1%
0.08 75
< 0.1%
0.09 76
< 0.1%
0.1 76
< 0.1%
0.11 75
< 0.1%
ValueCountFrequency (%)
0.02 2
 
< 0.1%
0.03 8
 
< 0.1%
0.04 11
 
< 0.1%
0.05 40
< 0.1%
0.06 68
< 0.1%
0.07 77
< 0.1%
0.08 75
< 0.1%
0.09 76
< 0.1%
0.1 76
< 0.1%
0.11 75
< 0.1%
ValueCountFrequency (%)
0.01 8
 
< 0.1%
0.02 15
 
< 0.1%
0.03 26
 
< 0.1%
0.04 57
 
< 0.1%
0.05 118
0.1%
0.06 194
0.1%
0.07 201
0.1%
0.08 209
0.1%
0.09 211
0.1%
0.1 210
0.1%

qc (MPa)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct68005640
Distinct (%)1.0%2.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean5.3614235.5948569
 Profiling report - TrainProfiling report - Test
Minimum0.010.01
Maximum92.6786.67
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:09:57.154252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.010.01
5-th percentile0.480.46
Q11.070.97
median2.522.57
Q36.016.56
95-th percentile20.6921.69
Maximum92.6786.67
Range92.6686.66
Interquartile range (IQR)4.945.59

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation8.20544468.2836627
Coefficient of variation (CV)1.53046021.4805853
Kurtosis16.86595914.745761
Mean5.3614235.5948569
Median Absolute Deviation (MAD)1.741.86
Skewness3.67497763.3630745
Sum37283551259631.7
Variance67.32932268.619067
MonotonicityNot monotonicNot monotonic
2024-11-07T10:09:57.665072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.92 3217
 
0.5%
0.94 3070
 
0.4%
0.93 2907
 
0.4%
0.95 2881
 
0.4%
0.97 2877
 
0.4%
0.91 2792
 
0.4%
0.98 2769
 
0.4%
0.96 2759
 
0.4%
1 2747
 
0.4%
0.9 2726
 
0.4%
Other values (6790) 666659
95.9%
ValueCountFrequency (%)
0.9 1133
 
0.5%
0.84 1127
 
0.5%
0.91 1122
 
0.5%
0.85 1083
 
0.5%
0.8 1068
 
0.5%
0.89 1057
 
0.5%
0.81 1046
 
0.5%
0.83 1040
 
0.5%
0.82 1038
 
0.5%
0.78 1033
 
0.5%
Other values (5630) 214394
95.2%
ValueCountFrequency (%)
0.01 46
< 0.1%
0.02 86
< 0.1%
0.03 63
< 0.1%
0.04 50
< 0.1%
0.05 76
< 0.1%
0.06 85
< 0.1%
0.07 109
< 0.1%
0.08 95
< 0.1%
0.09 98
< 0.1%
0.1 80
< 0.1%
ValueCountFrequency (%)
0.01 25
< 0.1%
0.02 44
< 0.1%
0.03 21
< 0.1%
0.04 32
< 0.1%
0.05 38
< 0.1%
0.06 14
 
< 0.1%
0.07 14
 
< 0.1%
0.08 9
 
< 0.1%
0.09 13
 
< 0.1%
0.1 16
 
< 0.1%
ValueCountFrequency (%)
0.01 25
< 0.1%
0.02 44
< 0.1%
0.03 21
< 0.1%
0.04 32
< 0.1%
0.05 38
< 0.1%
0.06 14
 
< 0.1%
0.07 14
 
< 0.1%
0.08 9
 
< 0.1%
0.09 13
 
< 0.1%
0.1 16
 
< 0.1%
ValueCountFrequency (%)
0.01 46
< 0.1%
0.02 86
< 0.1%
0.03 63
< 0.1%
0.04 50
< 0.1%
0.05 76
< 0.1%
0.06 85
< 0.1%
0.07 109
< 0.1%
0.08 95
< 0.1%
0.09 98
< 0.1%
0.1 80
< 0.1%

fs (kPa)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct87925124
Distinct (%)1.3%2.3%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean53.79324155.563215
 Profiling report - TrainProfiling report - Test
Minimum0.010.01
Maximum1160.71191.2
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:09:58.171494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.010.01
5-th percentile6.77.2
Q11717.5
median33.432.8
Q366.565.1
95-th percentile162.8179.9
Maximum1160.71191.2
Range1160.691191.19
Interquartile range (IQR)49.547.6

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation65.05473671.334796
Coefficient of variation (CV)1.20934781.2838493
Kurtosis26.55749424.455086
Mean53.79324155.563215
Median Absolute Deviation (MAD)20.219
Skewness4.05370864.0138273
Sum3740803512509558
Variance4232.11865088.6531
MonotonicityNot monotonicNot monotonic
2024-11-07T10:09:58.645129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.9 1676
 
0.2%
11 1652
 
0.2%
10.4 1651
 
0.2%
10.3 1626
 
0.2%
9.9 1614
 
0.2%
9.3 1608
 
0.2%
9.8 1602
 
0.2%
15.9 1584
 
0.2%
12.1 1581
 
0.2%
9.2 1576
 
0.2%
Other values (8782) 679234
97.7%
ValueCountFrequency (%)
15.9 602
 
0.3%
14.3 588
 
0.3%
13 584
 
0.3%
13.1 571
 
0.3%
13.7 562
 
0.2%
13.2 557
 
0.2%
13.8 537
 
0.2%
14.6 535
 
0.2%
16.7 534
 
0.2%
16.5 531
 
0.2%
Other values (5114) 219540
97.5%
ValueCountFrequency (%)
0.01 5
 
< 0.1%
0.02 38
 
< 0.1%
0.03 33
 
< 0.1%
0.04 22
 
< 0.1%
0.05 12
 
< 0.1%
0.06 2
 
< 0.1%
0.07 1
 
< 0.1%
0.08 1
 
< 0.1%
0.09 2
 
< 0.1%
0.1 109
< 0.1%
ValueCountFrequency (%)
0.01 5
 
< 0.1%
0.02 28
< 0.1%
0.03 14
 
< 0.1%
0.04 25
< 0.1%
0.05 14
 
< 0.1%
0.06 4
 
< 0.1%
0.1 28
< 0.1%
0.2 30
< 0.1%
0.3 35
< 0.1%
0.4 40
< 0.1%
ValueCountFrequency (%)
0.01 5
 
< 0.1%
0.02 28
< 0.1%
0.03 14
 
< 0.1%
0.04 25
< 0.1%
0.05 14
 
< 0.1%
0.06 4
 
< 0.1%
0.1 28
< 0.1%
0.2 30
< 0.1%
0.3 35
< 0.1%
0.4 40
< 0.1%
ValueCountFrequency (%)
0.01 5
 
< 0.1%
0.02 38
 
< 0.1%
0.03 33
 
< 0.1%
0.04 22
 
< 0.1%
0.05 12
 
< 0.1%
0.06 2
 
< 0.1%
0.07 1
 
< 0.1%
0.08 1
 
< 0.1%
0.09 2
 
< 0.1%
0.1 109
< 0.1%

Rf (%)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct989954
Distinct (%)0.1%0.4%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean1.75850541.7701536
 Profiling report - TrainProfiling report - Test
Minimum0.010.01
Maximum9.939.89
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:09:59.434046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.010.01
5-th percentile0.240.26
Q10.720.72
median1.341.38
Q32.312.31
95-th percentile4.824.88
Maximum9.939.89
Range9.929.88
Interquartile range (IQR)1.591.59

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation1.48116991.470613
Coefficient of variation (CV)0.842289120.83078271
Kurtosis3.67587133.7495117
Mean1.75850541.7701536
Median Absolute Deviation (MAD)0.740.77
Skewness1.74698861.7502985
Sum1222871.7398534.16
Variance2.19386442.1627027
MonotonicityNot monotonicNot monotonic
2024-11-07T10:09:59.840352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.41 3239
 
0.5%
0.39 3216
 
0.5%
0.4 3208
 
0.5%
0.36 3164
 
0.5%
0.42 3099
 
0.4%
0.34 3096
 
0.4%
0.31 3072
 
0.4%
0.3 3072
 
0.4%
0.38 3054
 
0.4%
0.29 3032
 
0.4%
Other values (979) 664152
95.5%
ValueCountFrequency (%)
0.37 1208
 
0.5%
0.36 1163
 
0.5%
0.33 1142
 
0.5%
0.34 1123
 
0.5%
0.32 1122
 
0.5%
0.35 1121
 
0.5%
0.4 1116
 
0.5%
0.39 1079
 
0.5%
0.31 1078
 
0.5%
0.44 1063
 
0.5%
Other values (944) 213926
95.0%
ValueCountFrequency (%)
0.01 317
 
< 0.1%
0.02 188
 
< 0.1%
0.03 298
 
< 0.1%
0.04 379
 
0.1%
0.05 409
 
0.1%
0.06 590
0.1%
0.07 664
0.1%
0.08 751
0.1%
0.09 905
0.1%
0.1 1053
0.2%
ValueCountFrequency (%)
0.01 169
0.1%
0.02 77
 
< 0.1%
0.03 73
 
< 0.1%
0.04 74
 
< 0.1%
0.05 86
 
< 0.1%
0.06 99
 
< 0.1%
0.07 143
0.1%
0.08 207
0.1%
0.09 214
0.1%
0.1 282
0.1%
ValueCountFrequency (%)
0.01 169
< 0.1%
0.02 77
 
< 0.1%
0.03 73
 
< 0.1%
0.04 74
 
< 0.1%
0.05 86
 
< 0.1%
0.06 99
 
< 0.1%
0.07 143
< 0.1%
0.08 207
< 0.1%
0.09 214
< 0.1%
0.1 282
< 0.1%
ValueCountFrequency (%)
0.01 317
 
0.1%
0.02 188
 
0.1%
0.03 298
 
0.1%
0.04 379
 
0.2%
0.05 409
 
0.2%
0.06 590
0.3%
0.07 664
0.3%
0.08 751
0.3%
0.09 905
0.4%
0.1 1053
0.5%

σ,v (kPa)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct83336439
Distinct (%)1.2%2.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean269.16418256.22597
 Profiling report - TrainProfiling report - Test
Minimum0.190.38
Maximum1441.151238.61
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:10:00.222925image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.190.38
5-th percentile29.6426.41
Q1120.84113.43
median227.62221.92
Q3354.92351.31
95-th percentile691.98605.34
Maximum1441.151238.61
Range1440.961238.23
Interquartile range (IQR)234.08237.88

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation204.23372189.85568
Coefficient of variation (CV)0.758770050.74096971
Kurtosis2.80180822.6303474
Mean269.16418256.22597
Median Absolute Deviation (MAD)115.52117.23
Skewness1.4358741.3261443
Sum1.8717785 × 10857686972
Variance41711.41336045.181
MonotonicityNot monotonicNot monotonic
2024-11-07T10:10:00.618821image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.61 325
 
< 0.1%
98.04 325
 
< 0.1%
98.42 325
 
< 0.1%
97.85 325
 
< 0.1%
97.66 324
 
< 0.1%
98.23 324
 
< 0.1%
148.96 324
 
< 0.1%
133.57 324
 
< 0.1%
97.28 323
 
< 0.1%
101.46 323
 
< 0.1%
Other values (8323) 692162
99.5%
ValueCountFrequency (%)
85.69 108
 
< 0.1%
86.07 107
 
< 0.1%
116.47 107
 
< 0.1%
114.19 107
 
< 0.1%
115.14 106
 
< 0.1%
115.9 106
 
< 0.1%
116.28 106
 
< 0.1%
85.88 106
 
< 0.1%
85.5 106
 
< 0.1%
77.71 105
 
< 0.1%
Other values (6429) 224077
99.5%
ValueCountFrequency (%)
0.19 8
 
< 0.1%
0.38 15
 
< 0.1%
0.57 26
 
< 0.1%
0.76 57
 
< 0.1%
0.95 118
< 0.1%
1.14 194
< 0.1%
1.33 201
< 0.1%
1.52 209
< 0.1%
1.71 211
< 0.1%
1.9 210
< 0.1%
ValueCountFrequency (%)
0.38 2
 
< 0.1%
0.57 8
 
< 0.1%
0.76 11
 
< 0.1%
0.95 40
< 0.1%
1.14 68
< 0.1%
1.33 77
< 0.1%
1.52 75
< 0.1%
1.71 76
< 0.1%
1.9 76
< 0.1%
2.09 75
< 0.1%
ValueCountFrequency (%)
0.38 2
 
< 0.1%
0.57 8
 
< 0.1%
0.76 11
 
< 0.1%
0.95 40
< 0.1%
1.14 68
< 0.1%
1.33 77
< 0.1%
1.52 75
< 0.1%
1.71 76
< 0.1%
1.9 76
< 0.1%
2.09 75
< 0.1%
ValueCountFrequency (%)
0.19 8
 
< 0.1%
0.38 15
 
< 0.1%
0.57 26
 
< 0.1%
0.76 57
 
< 0.1%
0.95 118
0.1%
1.14 194
0.1%
1.33 201
0.1%
1.52 209
0.1%
1.71 211
0.1%
1.9 210
0.1%

u0 (kPa)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct83546440
Distinct (%)1.2%2.9%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean131.52354126.64863
 Profiling report - TrainProfiling report - Test
Minimum0.10.1
Maximum744.09639.51
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:10:01.018314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.10.1
5-th percentile11.6711.09
Q155.0352.88
median109.48108.2
Q3176.19175.5
95-th percentile346.78305.19
Maximum744.09639.51
Range743.99639.41
Interquartile range (IQR)121.16122.62

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation104.6436897.663357
Coefficient of variation (CV)0.795626960.77113629
Kurtosis3.08720982.9211755
Mean131.52354126.64863
Median Absolute Deviation (MAD)59.3560.24
Skewness1.49482171.3957386
Sum9146199828513800
Variance10950.2999538.1312
MonotonicityNot monotonicNot monotonic
2024-11-07T10:10:01.411442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.62 332
 
< 0.1%
50.52 332
 
< 0.1%
50.91 331
 
< 0.1%
50.82 331
 
< 0.1%
52.29 331
 
< 0.1%
50.23 331
 
< 0.1%
50.42 331
 
< 0.1%
50.72 331
 
< 0.1%
40.22 330
 
< 0.1%
49.34 330
 
< 0.1%
Other values (8344) 692094
99.5%
ValueCountFrequency (%)
40.91 111
 
< 0.1%
41.1 111
 
< 0.1%
41.01 111
 
< 0.1%
44.24 110
 
< 0.1%
39.93 110
 
< 0.1%
42.97 110
 
< 0.1%
43.07 110
 
< 0.1%
41.2 110
 
< 0.1%
15.3 110
 
< 0.1%
40.12 110
 
< 0.1%
Other values (6430) 224038
99.5%
ValueCountFrequency (%)
0.1 87
 
< 0.1%
0.2 94
 
< 0.1%
0.29 104
 
< 0.1%
0.39 135
< 0.1%
0.49 196
< 0.1%
0.59 271
< 0.1%
0.69 278
< 0.1%
0.78 288
< 0.1%
0.88 291
< 0.1%
0.98 290
< 0.1%
ValueCountFrequency (%)
0.1 21
 
< 0.1%
0.2 22
 
< 0.1%
0.29 28
 
< 0.1%
0.39 31
 
< 0.1%
0.49 60
< 0.1%
0.59 89
< 0.1%
0.69 98
< 0.1%
0.78 96
< 0.1%
0.88 98
< 0.1%
0.98 98
< 0.1%
ValueCountFrequency (%)
0.1 21
 
< 0.1%
0.2 22
 
< 0.1%
0.29 28
 
< 0.1%
0.39 31
 
< 0.1%
0.49 60
< 0.1%
0.59 89
< 0.1%
0.69 98
< 0.1%
0.78 96
< 0.1%
0.88 98
< 0.1%
0.98 98
< 0.1%
ValueCountFrequency (%)
0.1 87
 
< 0.1%
0.2 94
 
< 0.1%
0.29 104
 
< 0.1%
0.39 135
0.1%
0.49 196
0.1%
0.59 271
0.1%
0.69 278
0.1%
0.78 288
0.1%
0.88 291
0.1%
0.98 290
0.1%

σ',v (kPa)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct4184828173
Distinct (%)6.0%12.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean137.64073129.57743
 Profiling report - TrainProfiling report - Test
Minimum0.090.18
Maximum697.06599.1
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:10:01.852188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.090.18
5-th percentile14.5212.87
Q163.7859.18
median118.09113.77
Q3180.95177.19
95-th percentile345.91303.02
Maximum697.06599.1
Range696.97598.92
Interquartile range (IQR)117.17118.01

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation101.6791493.675889
Coefficient of variation (CV)0.738728590.72293368
Kurtosis2.31201182.1627607
Mean137.64073129.57743
Median Absolute Deviation (MAD)58.0858.37
Skewness1.32354131.216972
Sum9571591529173192
Variance10338.6488775.1721
MonotonicityNot monotonicNot monotonic
2024-11-07T10:10:02.248333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.7 250
 
< 0.1%
48.98 249
 
< 0.1%
46.23 249
 
< 0.1%
47.33 249
 
< 0.1%
47.42 249
 
< 0.1%
47.24 249
 
< 0.1%
46.69 248
 
< 0.1%
49.07 248
 
< 0.1%
47.05 248
 
< 0.1%
46.04 248
 
< 0.1%
Other values (41838) 692917
99.6%
ValueCountFrequency (%)
9.19 90
 
< 0.1%
38.51 89
 
< 0.1%
17.09 88
 
< 0.1%
14.34 88
 
< 0.1%
9.74 88
 
< 0.1%
29.78 88
 
< 0.1%
9.47 88
 
< 0.1%
9.65 88
 
< 0.1%
9.1 88
 
< 0.1%
14.43 88
 
< 0.1%
Other values (28163) 224258
99.6%
ValueCountFrequency (%)
0.09 8
 
< 0.1%
0.18 15
 
< 0.1%
0.28 26
 
< 0.1%
0.37 57
 
< 0.1%
0.46 118
< 0.1%
0.55 194
< 0.1%
0.64 201
< 0.1%
0.74 209
< 0.1%
0.83 211
< 0.1%
0.92 210
< 0.1%
ValueCountFrequency (%)
0.18 2
 
< 0.1%
0.28 8
 
< 0.1%
0.37 11
 
< 0.1%
0.46 40
< 0.1%
0.55 68
< 0.1%
0.64 77
< 0.1%
0.74 75
< 0.1%
0.83 76
< 0.1%
0.92 76
< 0.1%
1.01 75
< 0.1%
ValueCountFrequency (%)
0.18 2
 
< 0.1%
0.28 8
 
< 0.1%
0.37 11
 
< 0.1%
0.46 40
< 0.1%
0.55 68
< 0.1%
0.64 77
< 0.1%
0.74 75
< 0.1%
0.83 76
< 0.1%
0.92 76
< 0.1%
1.01 75
< 0.1%
ValueCountFrequency (%)
0.09 8
 
< 0.1%
0.18 15
 
< 0.1%
0.28 26
 
< 0.1%
0.37 57
 
< 0.1%
0.46 118
0.1%
0.55 194
0.1%
0.64 201
0.1%
0.74 209
0.1%
0.83 211
0.1%
0.92 210
0.1%

Qtn (-)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct5008831975
Distinct (%)7.2%14.2%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean60.4104363.263086
 Profiling report - TrainProfiling report - Test
Minimum0.180.22
Maximum10011001
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:10:02.641429image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.180.22
5-th percentile1.981.89
Q15.535.62
median22.8725.97
Q358.4965.41
95-th percentile274.697280.29
Maximum10011001
Range1000.821000.78
Interquartile range (IQR)52.9659.79

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation111.6123110.53207
Coefficient of variation (CV)1.84756671.7471812
Kurtosis18.68396418.174503
Mean60.4104363.263086
Median Absolute Deviation (MAD)19.1822.4
Skewness3.8913783.7625557
Sum4200965414243114
Variance12457.30512217.339
MonotonicityNot monotonicNot monotonic
2024-11-07T10:10:03.027878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.08 567
 
0.1%
2.06 566
 
0.1%
2.03 565
 
0.1%
2.01 558
 
0.1%
1.38 555
 
0.1%
2.13 553
 
0.1%
2.16 551
 
0.1%
2.05 550
 
0.1%
2.04 547
 
0.1%
2.09 545
 
0.1%
Other values (50078) 689847
99.2%
ValueCountFrequency (%)
1.9 461
 
0.2%
1.91 455
 
0.2%
1.89 432
 
0.2%
1.92 428
 
0.2%
1.88 415
 
0.2%
1.93 403
 
0.2%
1.87 398
 
0.2%
1.97 389
 
0.2%
1.86 378
 
0.2%
1.94 371
 
0.2%
Other values (31965) 221011
98.2%
ValueCountFrequency (%)
0.18 1
< 0.1%
0.21 1
< 0.1%
0.25 1
< 0.1%
0.27 2
< 0.1%
0.29 1
< 0.1%
0.31 1
< 0.1%
0.34 2
< 0.1%
0.35 1
< 0.1%
0.37 1
< 0.1%
0.38 1
< 0.1%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.42 1
 
< 0.1%
0.49 1
 
< 0.1%
0.58 2
 
< 0.1%
0.59 6
< 0.1%
0.6 1
 
< 0.1%
0.61 3
< 0.1%
0.62 4
< 0.1%
0.63 5
< 0.1%
0.64 1
 
< 0.1%
ValueCountFrequency (%)
0.22 1
 
< 0.1%
0.42 1
 
< 0.1%
0.49 1
 
< 0.1%
0.58 2
 
< 0.1%
0.59 6
< 0.1%
0.6 1
 
< 0.1%
0.61 3
< 0.1%
0.62 4
< 0.1%
0.63 5
< 0.1%
0.64 1
 
< 0.1%
ValueCountFrequency (%)
0.18 1
< 0.1%
0.21 1
< 0.1%
0.25 1
< 0.1%
0.27 2
< 0.1%
0.29 1
< 0.1%
0.31 1
< 0.1%
0.34 2
< 0.1%
0.35 1
< 0.1%
0.37 1
< 0.1%
0.38 1
< 0.1%

Fr (%)
Real number (ℝ)

 Profiling report - TrainProfiling report - Test
Distinct999999
Distinct (%)0.1%0.4%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean2.25322272.2852119
 Profiling report - TrainProfiling report - Test
Minimum0.010.01
Maximum9.999.99
Zeros00
Zeros (%)0.0%0.0%
Negative00
Negative (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
2024-11-07T10:10:03.404304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

 Profiling report - TrainProfiling report - Test
Minimum0.010.01
5-th percentile0.250.27
Q10.810.78
median1.671.68
Q33.113.26
95-th percentile6.416.3
Maximum9.999.99
Range9.989.98
Interquartile range (IQR)2.32.48

Descriptive statistics

 Profiling report - TrainProfiling report - Test
Standard deviation1.94025371.9476584
Coefficient of variation (CV)0.861101610.8522879
Kurtosis1.90881771.6490471
Mean2.25322272.2852119
Median Absolute Deviation (MAD)1.051.1
Skewness1.43025421.3453228
Sum1566900.1514494.89
Variance3.76458453.7933734
MonotonicityNot monotonicNot monotonic
2024-11-07T10:10:03.786155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37 2995
 
0.4%
0.36 2968
 
0.4%
0.33 2919
 
0.4%
0.34 2836
 
0.4%
0.31 2836
 
0.4%
0.38 2829
 
0.4%
0.41 2828
 
0.4%
0.32 2827
 
0.4%
0.45 2807
 
0.4%
0.35 2781
 
0.4%
Other values (989) 666778
95.9%
ValueCountFrequency (%)
0.37 1210
 
0.5%
0.38 1111
 
0.5%
0.33 1096
 
0.5%
0.34 1093
 
0.5%
0.35 1078
 
0.5%
0.4 1066
 
0.5%
0.36 1065
 
0.5%
0.39 1050
 
0.5%
0.44 1033
 
0.5%
0.43 1031
 
0.5%
Other values (989) 214308
95.2%
ValueCountFrequency (%)
0.01 264
 
< 0.1%
0.02 189
 
< 0.1%
0.03 256
 
< 0.1%
0.04 322
 
< 0.1%
0.05 385
0.1%
0.06 551
0.1%
0.07 586
0.1%
0.08 732
0.1%
0.09 799
0.1%
0.1 925
0.1%
ValueCountFrequency (%)
0.01 159
0.1%
0.02 81
 
< 0.1%
0.03 70
 
< 0.1%
0.04 73
 
< 0.1%
0.05 77
 
< 0.1%
0.06 103
< 0.1%
0.07 119
0.1%
0.08 200
0.1%
0.09 212
0.1%
0.1 238
0.1%
ValueCountFrequency (%)
0.01 159
< 0.1%
0.02 81
 
< 0.1%
0.03 70
 
< 0.1%
0.04 73
 
< 0.1%
0.05 77
 
< 0.1%
0.06 103
< 0.1%
0.07 119
< 0.1%
0.08 200
< 0.1%
0.09 212
< 0.1%
0.1 238
< 0.1%
ValueCountFrequency (%)
0.01 264
 
0.1%
0.02 189
 
0.1%
0.03 256
 
0.1%
0.04 322
 
0.1%
0.05 385
0.2%
0.06 551
0.2%
0.07 586
0.3%
0.08 732
0.3%
0.09 799
0.4%
0.1 925
0.4%
 Profiling report - TrainProfiling report - Test
Distinct77
Distinct (%)< 0.1%< 0.1%
Missing00
Missing (%)0.0%0.0%
Memory size10.6 MiB3.4 MiB
5
155490 
2
135616 
6
127983 
7
116888 
4
61382 
Other values (2)
98045 
5.0
44611 
6.0
39103 
2.0
38391 
7.0
35190 
4.0
27655 
Other values (2)
40191 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters675423
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

 Profiling report - TrainProfiling report - Test
Unique00 ?
Unique (%)0.0%0.0%

Sample

1st row4.0
2nd row4.0
3rd row4.0
4th row4.0
5th row4.0

Common Values

ValueCountFrequency (%)
5 155490
22.4%
2 135616
19.5%
6 127983
18.4%
7 116888
16.8%
4 61382
 
8.8%
1 60114
 
8.6%
0 37931
 
5.5%
ValueCountFrequency (%)
5.0 44611
19.8%
6.0 39103
17.4%
2.0 38391
17.1%
7.0 35190
15.6%
4.0 27655
12.3%
1.0 24125
10.7%
0.0 16066
 
7.1%

Length

2024-11-07T10:10:04.071420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

Profiling report - Train

2024-11-07T10:10:04.337294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:10:04.638446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
5.0 44611
19.8%
6.0 39103
17.4%
2.0 38391
17.1%
7.0 35190
15.6%
4.0 27655
12.3%
1.0 24125
10.7%
0.0 16066
 
7.1%

Most occurring characters

ValueCountFrequency (%)
0 241207
35.7%
. 225141
33.3%
5 44611
 
6.6%
6 39103
 
5.8%
2 38391
 
5.7%
7 35190
 
5.2%
4 27655
 
4.1%
1 24125
 
3.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 675423
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 241207
35.7%
. 225141
33.3%
5 44611
 
6.6%
6 39103
 
5.8%
2 38391
 
5.7%
7 35190
 
5.2%
4 27655
 
4.1%
1 24125
 
3.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 675423
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 241207
35.7%
. 225141
33.3%
5 44611
 
6.6%
6 39103
 
5.8%
2 38391
 
5.7%
7 35190
 
5.2%
4 27655
 
4.1%
1 24125
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 675423
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 241207
35.7%
. 225141
33.3%
5 44611
 
6.6%
6 39103
 
5.8%
2 38391
 
5.7%
7 35190
 
5.2%
4 27655
 
4.1%
1 24125
 
3.6%

Interactions

Profiling report - Train

2024-11-07T10:09:18.302906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:42.204011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:32.094989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:46.347301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:34.382652image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:49.912302image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:36.403116image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:54.475796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:38.544843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:59.290432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:40.589410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:03.204626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:43.735369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:07.144892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:45.835441image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:10.785315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:48.102995image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:14.407053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:50.208333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:18.990853image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:42.618662image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:32.341981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:46.665140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:34.594182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:50.718746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:36.634830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:54.976523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:38.765764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:59.683959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:40.810096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:03.577904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:43.984415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:07.488566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:46.137654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:11.115637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:48.362990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:14.738483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:50.429631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:19.837571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:43.014557image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:32.566036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:46.972704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:34.797610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:51.140883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:36.847341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:55.440970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:38.985697image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:00.049682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:41.018679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:04.102654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:44.205000image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:07.819998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:46.404935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:11.436540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:48.588651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:15.050372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:50.660542image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:20.507306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:43.499224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:32.816761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:47.303680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:35.032764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:51.696521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:37.106792image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:55.810594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:39.235163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:00.422594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:41.515200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:04.499350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:44.446222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:08.156549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:46.661122image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:11.762823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:48.822757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:15.381079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:50.884085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:21.173820image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:43.883731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:33.047146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:47.638445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:35.275842image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:52.064112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:37.349938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:56.142551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:39.447146image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:00.760499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:41.779250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:04.834648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:44.672808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:08.474205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:46.899336image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:12.082889image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:49.050323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:15.690171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:51.100428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:21.892856image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:44.270725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:33.281437image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:47.969633image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:35.507454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:52.421274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:37.594402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:56.523858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:39.672740image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:01.105512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:42.157282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:05.152743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:44.930642image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:08.805345image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:47.165232image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:12.428961image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:49.281772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:16.021298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:51.342096image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:22.807794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:44.662705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:33.514161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:48.294632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:35.731216image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:52.776766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:37.837046image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:56.890305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:39.899702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:01.450805image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:42.687608image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:05.487624image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:45.163878image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:09.142471image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:47.401196image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:12.797831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:49.539064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:16.347951image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:51.563040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:23.570158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:45.009306image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:33.792922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:48.632808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:35.974310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:53.144545image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:38.091215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:57.446632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:40.125370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:01.805289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:43.127062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:05.822779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:45.392932image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:09.477627image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:47.636788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:13.119385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:49.760461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:16.694871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:51.808615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:24.242722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:45.334861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:34.145352image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:48.942566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:36.185246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:53.464979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:38.327593image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:08:57.932351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:40.376044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:02.131239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:43.446082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:06.156732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:45.621226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:09.806997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:47.872133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:13.467575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:49.985647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:16.999513image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:09:52.023160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

2024-11-07T10:09:25.180362image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:46.008067image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:49.597257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:54.120892image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:08:58.913599image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:09:02.840663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:09:06.826611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:09:10.472454image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:09:14.104823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Profiling report - Train

2024-11-07T10:09:17.658403image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test


Interaction plot not present for dataset

Correlations

Profiling report - Train

2024-11-07T10:10:04.848397image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Test

2024-11-07T10:10:05.167162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Profiling report - Train

Depth (m)Fr (%)Oberhollenzer_classesQtn (-)Rf (%)fs (kPa)qc (MPa)u0 (kPa)σ',v (kPa)σ,v (kPa)
Depth (m)1.0000.1050.210-0.562-0.023-0.052-0.0370.9820.9851.000
Fr (%)0.1051.0000.292-0.5950.9650.043-0.6750.1160.0920.105
Oberhollenzer_classes0.2100.2921.000-0.4520.223-0.266-0.4020.2020.2120.210
Qtn (-)-0.562-0.595-0.4521.000-0.4160.5660.813-0.554-0.552-0.562
Rf (%)-0.0230.9650.223-0.4161.0000.198-0.554-0.011-0.033-0.023
fs (kPa)-0.0520.043-0.2660.5660.1981.0000.663-0.061-0.043-0.052
qc (MPa)-0.037-0.675-0.4020.813-0.5540.6631.000-0.052-0.022-0.037
u0 (kPa)0.9820.1160.202-0.554-0.011-0.061-0.0521.0000.9360.982
σ',v (kPa)0.9850.0920.212-0.552-0.033-0.043-0.0220.9361.0000.985
σ,v (kPa)1.0000.1050.210-0.562-0.023-0.052-0.0370.9820.9851.000

Profiling report - Test

Depth (m)Fr (%)Oberhollenzer_classesQtn (-)Rf (%)fs (kPa)qc (MPa)u0 (kPa)σ',v (kPa)σ,v (kPa)
Depth (m)1.0000.0790.214-0.494-0.046-0.0160.0200.9880.9901.000
Fr (%)0.0791.0000.227-0.6450.966-0.056-0.7100.0790.0770.079
Oberhollenzer_classes0.2140.2271.0000.2090.1800.1270.1940.2080.2140.214
Qtn (-)-0.494-0.6450.2091.000-0.4790.6000.828-0.467-0.509-0.494
Rf (%)-0.0460.9660.180-0.4791.0000.094-0.602-0.040-0.051-0.046
fs (kPa)-0.016-0.0560.1270.6000.0941.0000.6990.005-0.034-0.016
qc (MPa)0.020-0.7100.1940.828-0.6020.6991.0000.0360.0050.020
u0 (kPa)0.9880.0790.208-0.467-0.0400.0050.0361.0000.9570.988
σ',v (kPa)0.9900.0770.214-0.509-0.051-0.0340.0050.9571.0000.990
σ,v (kPa)1.0000.0790.214-0.494-0.046-0.0160.0200.9880.9901.000

Missing values

Profiling report - Train

2024-11-07T10:09:25.495227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.

Profiling report - Test

2024-11-07T10:09:52.307108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.

Profiling report - Train

2024-11-07T10:09:26.414728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Profiling report - Test

2024-11-07T10:09:53.031606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Profiling report - Train

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes
14885150.056.855.800.090.950.490.46263.950.094.0
14885160.067.9211.600.171.140.590.55315.950.174.0
14885170.079.4423.200.211.330.690.64339.460.214.0
14885180.0810.8423.200.231.520.780.74364.640.234.0
14885190.0911.2825.600.221.710.880.83369.590.224.0
14885200.1011.2826.200.241.900.980.92368.320.244.0
14885210.1110.7226.900.272.091.081.01377.870.274.0
14885220.1210.2132.900.322.281.181.10371.230.324.0
14885230.138.7435.600.392.471.281.19359.190.394.0
14885240.148.4838.300.442.661.371.29352.540.444.0

Profiling report - Test

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes
14865480.390.060.010.017.413.833.5823.330.014.0
14865490.400.220.010.017.603.923.6813.400.014.0
14865500.410.050.010.017.794.023.7712.040.014.0
14865510.420.020.010.047.984.123.864.320.054.0
14865520.430.010.010.118.174.223.950.490.594.0
14865810.720.020.020.0313.687.066.626.280.044.0
14866211.120.930.060.0121.2810.9910.2940.250.014.0
14866221.130.740.060.0121.4711.0910.3834.520.014.0
14866231.140.690.060.0121.6611.1810.4831.310.014.0
14866241.150.690.060.0121.8511.2810.5730.080.014.0

Profiling report - Train

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes
25169619.6934.6588.800.26184.1170.53113.58327.450.261.0
25169629.7035.8989.300.24184.3070.63113.67345.480.251.0
25169639.7139.0989.300.23184.4970.73113.76367.500.231.0
25169649.7241.4589.200.22184.6870.83113.85381.950.221.0
25169659.7340.3588.600.22184.8770.93113.94386.110.221.0
25169669.7440.4088.300.22185.0671.02114.04382.730.221.0
25169679.7540.4488.100.22185.2571.12114.13385.140.221.0
25169689.7641.1594.700.21185.4471.22114.22397.500.211.0
25169699.7744.1779.900.22185.6371.32114.31409.960.221.0
25169709.7844.37105.500.14185.8271.42114.40427.650.141.0

Profiling report - Test

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes
251161229.831.1927.902.34566.77292.63274.142.294.452.0
251161329.841.2027.902.33566.96292.73274.232.294.442.0
251161429.851.2027.802.32567.15292.83274.322.294.422.0
251161529.861.2027.902.32567.34292.93274.412.314.412.0
251161629.871.2027.802.32567.53293.02274.512.314.392.0
251161729.881.2027.802.32567.72293.12274.602.294.422.0
251161829.891.1927.702.32567.91293.22274.692.284.422.0
251161929.901.2027.702.32568.10293.32274.782.284.422.0
251162029.911.2027.702.31568.29293.42274.872.294.412.0
251162129.921.2027.502.29568.48293.52274.962.304.352.0

Duplicate rows

Profiling report - Train

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes# duplicates
Dataset does not contain duplicate rows.

Profiling report - Test

Depth (m)qc (MPa)fs (kPa)Rf (%)σ,v (kPa)u0 (kPa)σ',v (kPa)Qtn (-)Fr (%)Oberhollenzer_classes# duplicates
Dataset does not contain duplicate rows.